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首页> 外文期刊>The journal of asthma >GeneGene interactions between candidate gene polymorphisms are associated with total IgE levels in korean children with asthma
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GeneGene interactions between candidate gene polymorphisms are associated with total IgE levels in korean children with asthma

机译:候选基因多态性之间的GeneGene相互作用与韩国哮喘儿童的总IgE水平相关

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Objective. To investigate associations between total serum immunoglobulin E (IgE) levels and single nucleotide polymorphisms (SNPs) from eight candidate genes (IL-4 rs2243250, IL-4Rα rs1805010, IL-13 rs20541, IL-13Rα1 rs2495636, CD14 rs2569190, tumor necrosis factor-alpha (TNF-α) rs1800629, cytotoxic T lymphocyte-associated antigen (CTLA4) rs231775, FCER1B rs1441585) in children with asthma and to evaluate genegene interactions. Methods. A total of 669 Korean children with asthma (n = 544 atopic n = 125 non-atopic) were included. Asthma phenotypes, total serum IgE levels, and methacholine challenge test results were evaluated. SNPs were genotyped using the polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) method. Multi-factor dimensionality reduction (MDR) was used to analyze genegene interactions. Results. The combination of the IL-13, IL-13Rα1, and CTLA4 polymorphisms was selected through MDR analysis of the data pertaining to children with atopic and non-atopic asthma (accuracy = 0.5459, cross validation consistency (CVC) = 10/10). The IL-4Rα, IL-13, IL-13Rα1, CD14, and CTLA4 polymorphisms were selected as the best model of increased total serum IgE levels in non-atopic and atopic asthma (asthma: accuracy = 0.4726, CVC = 10/10; atopic asthma: accuracy = 0.4573, CVC = 10/10). Both the IL-4Rα and the IL-13 polymorphisms were correlated with the IgE level. ANOVA analysis revealed that the combinations of the CTLA4 and IL-13, IL-13 and IL-13Rα1, IL-4Rα and IL-13, and CD14 and IL-13 polymorphisms were all significantly associated with increased total serum IgE levels. Conclusions. The best model of increased IgE level included the IL-4Rα, IL-13, IL-13Rα1, CD14, and CTLA4 polymorphisms. Of the various interactions between these polymorphisms, the combinations of the CTLA4 and IL-13 polymorphisms and the IL-13 and IL-13Rα1 polymorphisms showed synergistic effects in terms of increased total serum IgE levels in the present cohort.
机译:目的。调查血清免疫球蛋白E(IgE)的总水平与来自八个候选基因(IL-4 rs2243250,IL-4Rαrs1805010,IL-13 rs20541,IL-13Rα1rs2495636,CD14 rs2569190,肿瘤坏死因子的单核苷酸多态性(SNP)之间的关联-α(TNF-α)rs1800629,细胞毒性T淋巴细胞相关抗原(CTLA4)rs231775,FCER1B rs1441585)并评估基因与基因的相互作用。方法。总共包括669名韩国哮喘儿童(n = 544特应性n = 125非特应性)。评估了哮喘的表型,血清总IgE水平和乙酰甲胆碱激发试验结果。使用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法对SNP进行基因分型。多因素降维(MDR)用于分析基因相互作用。结果。通过对与特应性哮喘和非特应性哮喘儿童有关的数据进行MDR分析,选择了IL-13,IL-13Rα1和CTLA4多态性的组合(准确度= 0.5459,交叉验证一致性(CVC)= 10/10)。选择IL-4Rα,IL-13,IL-13Rα1,CD14和CTLA4多态性作为非特应性和特应性哮喘总血清IgE水平升高的最佳模型(哮喘:准确度= 0.4726,CVC = 10/10;特应性哮喘:准确度= 0.4573,CVC = 10/10)。 IL-4Rα和IL-13多态性均与IgE水平相关。方差分析表明CTLA4和IL-13,IL-13和IL-13Rα1,IL-4Rα和IL-13以及CD14和IL-13多态性的组合均与总血清IgE水平升高显着相关。结论。增加IgE水平的最佳模型包括IL-4Rα,IL-13,IL-13Rα1,CD14和CTLA4多态性。在这些多态性之间的各种相互作用中,CTLA4和IL-13多态性与IL-13和IL-13Rα1多态性的组合在当前队列中总血清IgE水平升高方面表现出协同效应。

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